USING THE MODEL WITH RBBGCMuso

Biome-BGC was primarily designed to be a command line tool in single PC environment (Windows, Mac or Linux/UNIX). Following the logic of the original model, Biome-BGCMuSo is still a command line tool (e.g. under MS Windows is can be best used via the Command Prompt which is the traditional DOS mode). Repeatability of model simulations and handling of the input/output files might be a challangeing task in complex simulations.

In order to resolve this issue and to support the community, we created a state-of-the-art programming environment called RBBGCMuso. RBBGCMuso seamlessly integrates Biome-BGCMuSo into the R environment which provides a powerful tool to exploit the possibilities provided by the model. Please read the tutorial at the RBBGCMuso GitHub page for details, and for a step-by-step guide.
Note that RBBGCMuso provides a large variety of functions for the advanced application of the model. We provide solutions for model execution, visualization, sensitivity analysis, Monte-Carlo-based model optimization using the connstraints of the model parameters, GLUE-based parameter optimization and many more. We also provide a Graphical User Interface (GUI, called tuneMuso) that provides access to advanced features. At present tuneMuso is only available in a separate branch of the RBBGCMuso package: https://github.com/hollorol/RBBGCMuso/tree/hotfix/calibMuso

Here we provide the very first steps to use RBBGCMuso. First, within R or RStudio, issue this command:

remotes::install_github("hollorol/RBBGCMuso/RBBGCMuso", ref="hotfix/calibMuso", upgrade='never')

Then type

library(RBBGCMuso)

Now you can use the advanced features. Please see the GitHub page for a more detailed information.